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Posted to issues@spark.apache.org by "Shuai Zheng (JIRA)" <ji...@apache.org> on 2015/04/21 21:35:58 UTC
[jira] [Created] (SPARK-7039) JdbcRdd doesn't support
java.sql.Types.NVARCHAR
Shuai Zheng created SPARK-7039:
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Summary: JdbcRdd doesn't support java.sql.Types.NVARCHAR
Key: SPARK-7039
URL: https://issues.apache.org/jira/browse/SPARK-7039
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.3.1
Environment: Spark 1.3.1
Reporter: Shuai Zheng
Priority: Minor
Fix For: 1.3.2, 1.4.0
When create a DataFrame from jdbc method through SqlContext:
DataFrame df = sql.jdbc(url, fullTableName);
If there is column type NVARCHAR, below exception will be thrown:
Caused by: java.sql.SQLException: Unsupported type -9
at org.apache.spark.sql.jdbc.JDBCRDD$.getCatalystType(JDBCRDD.scala:78)
at org.apache.spark.sql.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:112)
at org.apache.spark.sql.jdbc.JDBCRelation.<init>(JDBCRelation.scala:133)
at org.apache.spark.sql.SQLContext.jdbc(SQLContext.scala:900)
at org.apache.spark.sql.SQLContext.jdbc(SQLContext.scala:852)
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When comparing the code between JDBCRDD.scala and java.sql.Types.java, the only type is not supported in JDBCRDD.scala is NVARCHAR.
Because NCHAR is supported, so I think this is just a small mistake that people skip this type instead of ignore it intentionally.
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